Technical Lead, Medicines Safety Technologies

Overview

In this senior technical leadership role, you guide the Beyond ADMET: AI for Medicines Safety sandbox, shaping evidence, methodologies and regulatory insights. You collaborate with the Head, AI for Medicines Safety to integrate AI, toxicology, pharmacology and regulatory science. You will steer method evaluation and build external partnerships to advance AI-enabled medicines safety. The position offers impact across regulation, safety assessment and innovation, with a strong emphasis on credible scientific outputs and stakeholder engagement.

Responsibilities

• Provide senior scientific and technical leadership for the Beyond ADMET sandbox, ensuring scientific rigour and alignment with regulatory objectives
• Oversee project activities with technical oversight and quality control
• Evaluate emerging AI methodologies, models, datasets and validation approaches for medicines development and safety
• Contribute to the design, delivery and evaluation of sandbox activities and use cases
• Identify opportunities, risks, uncertainties and limitations of AI-enabled approaches
• Develop evidence, recommendations and outputs arising from the programme
• Coordinate technical workstreams and integrate scientific, technical and regulatory activities
• Monitor deliverables, milestones, risks and mitigations
• Translate programme outputs into meaningful regulatory and scientific outcomes
• Build and maintain relationships with MHRA, industry, academia and government
• Represent the programme at meetings, workshops, and stakeholder events
• Collaborate with external experts to stay abreast of developments and best practices
• Support engagement with other AI-focused programmes and sandboxes across MHRA
• Deputise for the Head, AI for Safety at meetings as required
• Support development of AI-enabled regulatory science capability across MHRA
• Keep abreast of AI, computational toxicology, pharmacology, modelling and simulation
• Ensure activities comply with governance and quality requirements
• Maintain records and evidence to support outputs and decision-making
• Champion MHRA values and promote an inclusive working environment
• Share knowledge and best practices with colleagues
• Demonstrate flexibility in response to emerging technologies and changing needs

Key requirements

• Significant experience and expertise in AI/ML or healthcare data science/n modelling
• Experience in pre-clinical/toxicology/NAMs, pharmacology or related scientific areas
• Experience translating scientific evidence into practical regulatory actions
• Experience working with multidisciplinary teams and external stakeholders
• Experience preparing technical reports, assessments, briefings, publications or regulatory submissions
• Experience of AI model development, validation or deployment in healthcare or life sciences
• Ability to communicate complex concepts to diverse audiences
• Degree in a relevant field; postgraduate qualification in AI, computational biology, pharmacology, toxicology, data science or related discipline

• Strong analytical thinking
• Excellent written and verbal communication
• Stakeholder engagement and collaboration
• Artificial Intelligence / Machine Learning
• Healthcare data science
• Computational modelling

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